import Module from '../../modules/site-editor/assets/js/site-editor'; import ImportExportCustomizationModule from '../../modules/import-export-customization/assets/js/module'; new Module(); new ImportExportCustomizationModule(); Elnaz HajiHosseiny, Author at JOISS Research https://joissresearch.org Online Journals Mon, 29 Sep 2025 03:48:27 +0000 en-US hourly 1 https://joissresearch.org/wp-content/uploads/2023/09/JOISS-Favicon-64x64.png Elnaz HajiHosseiny, Author at JOISS Research https://joissresearch.org 32 32 Vol 2 Issue 3 https://joissresearch.org/journal/vol-2-issue-3/ Mon, 29 Sep 2025 03:37:06 +0000 https://joissresearch.org/?post_type=product&p=4572 ALL Volume 2 Issue 3 Studies ISSN 2818-9590

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ISSN 2818-9590

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]]> Influence of Leadership Styles on Innovation and Ethical Responsibility in AI-Driven Organizations https://joissresearch.org/journal/influence-of-leadership-styles-on-innovation-and-ethical-responsibility-in-ai-driven-organizations/ Wed, 16 Apr 2025 19:18:06 +0000 https://joissresearch.org/?post_type=product&p=4239 Concerns about algorithmic bias, data privacy, and accountability have risen with the growing use of artificial intelligence (AI) in several businesses. Uncontrolled AI use can lead to social injustice, public mistrust, and legal issues. There is a significant knowledge vacuum on innovative leadership style impact on AI governance. In AI-driven enterprises, transformational and moral leadership […]

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]]> Concerns about algorithmic bias, data privacy, and accountability have risen with the growing use of artificial intelligence (AI) in several businesses. Uncontrolled AI use can lead to social injustice, public mistrust, and legal issues. There is a significant knowledge vacuum on innovative leadership style impact on AI governance. In AI-driven enterprises, transformational and moral leadership can be important factors. This study is a systematic review of AI integration in business where effective leadership is essential to maintaining responsible AI governance, exploring leadership strategies in AI governance, focusing on AI ethics, ethical implementation challenges, and balancing innovation. Key themes uncovered include adaptive governance techniques, leadership development, and international ethical AI standards, aiming to reduce risks and promote sustainable AI integration. Future research can employ qualitative case studies investigating leadership decision-making in AI ethics and quantitative surveys evaluating the efficacy of ethical AI policies in enterprises to further explore the role of leadership in AI governance and guide the development of best practices for the ethical application of AI.

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